76 component-labeling-agorithm-cuda PhD positions at Technical University of Denmark in Denmark
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an essential component of the project and will contribute to the interdisciplinary nature of your PhD. We expect candidates to have demonstrated experience or strong interest in the following areas
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. Across these applications areas, a central and critical challenge in bioprinting is the design of appropriate biomaterials to serve as synthetic matrices and scaffold for the tissues. You will be part of a
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automation Earth processing Computational fluid dynamics Numerical process modelling Rheology Furthermore, the candidate should be motivated to work collaboratively as part of a team. You must have a two-year
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biocompatibility in collaboration with other students and project partners. We are seeking a highly motivated candidate who can work effectively both independently and as part of a team, and who communicates clearly
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
the furthermore, core works are envisioned in (c) initiating novel VLE design using foundational Digital Twin for Construction Safey (DTCS) components (e.g., city models, nD BIM, IoT/sensor data, TPTC, LPS, LBS
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used. This part of the three-student project is focusing on setting up the closed loop combustion control and adapting this control using self-learning algorithms. Qualifications You should have a basic
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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your chance to shape the future of smart food regulation, both in Denmark and globally. At DTU Food, you'll be part of an ambitious research team that is redefining regulatory food systems in Denmark's
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energy modeling and analysis to be part of the Ports as Energy Transition Hubs (POTENT) Marie Sklodowska-Curie Actions Doctoral Network. The network will consist of 15 PhD candidates interested in